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Flexible Ai Data Collection Jobs in Rochester, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Maintaining data lineage documentation, AI model nutrition labels, and data bill of materials (DBOM ... A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We ...

Manage storage media (SSDs, HDDs) during data collection sessions. * Operate data copying stations ... May require flexible hours or route-based scheduling with frequent travels. * Work conducted in ...

Manage storage media (SSDs, HDDs) during data collection sessions. * Operate data copying stations ... May require flexible hours or route-based scheduling with frequent travels. * Work conducted in ...

Data Analysis Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

ERP AI Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... This role offers the chance to shape AI solution architecture while driving innovation and ...

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Flexible Ai Data Collection information

See Rochester, MI salary details

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How much do flexible ai data collection jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for flexible ai data collection in Rochester, MI is $23.29, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $23.89 per hour, depending on experience, location, and employer.

What is flexible AI data collection?

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

What are the key skills and qualifications needed to thrive as a flexible AI data collection specialist?

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

What are some common challenges faced in a flexible AI data collection role, and how can they be managed?

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

What is the difference between Flexible Ai Data Collection vs Data Annotator?

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

What job categories do people searching Flexible Ai Data Collection jobs in Rochester, MI look for?

The top searched job categories for Flexible Ai Data Collection jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Flexible Ai Data Collection jobs?

Cities near Rochester, MI with the most Flexible Ai Data Collection job openings:

Infographic showing various Flexible Ai Data Collection job openings in Rochester, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $48,453 per year, or $23.3 per hour.

Mapping Data Collection Driver

TSMG

Detroit, MI • On-site

Full-time

Re-posted yesterday


Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Role Overview
We are seeking reliable and safety-focused professional drivers to support a large-scale mapping data collection project. Drivers will operate client-provided vehicles equipped with specialized mapping equipment to collect high-quality street-level data across assigned zones. This role requires strong driving skills, technical awareness, and the ability to work independently while coordinating closely with field coordinators.
 
Travel and extended assignments away from home (hotel-based work) are required.
Key Responsibilities:
  • Safely operate client-provided vehicles equipped with mapping and data collection equipment
  • Collect mapping data within assigned zones efficiently and in compliance with project guidelines
  • Handle and protect all client-provided vehicles, devices, and equipment
  • Maintain vehicle and equipment cleanliness and basic upkeep
  • Research and identify safe local parking locations to ensure vehicle and equipment security
  • Securely park, cover, and safeguard the vehicle daily at designated locations
  • Report and handle incidents, including traffic accidents and public interactions, in a professional manner
  • Coordinate daily activities, assignments, and issue resolution with the Camp Coordinator
  • Communicate technical, mechanical, or operational issues promptly
  • Meet daily and weekly delivery targets in collaboration with project coordinators
  • Travel long distances as required and work in "hotel mode" during assignments
  • Maintain accurate inventory and device logs in the designated system or application
Requirements:
  • Minimum 5 years of driving experience
  • At least 2 years of professional driving experience (e.g., taxi, delivery, logistics, courier)
  • Good English
  • Experience driving larger vehicles (vans, trucks) is strongly preferred
  • Defensive, calm, and safety-oriented driving style
  • Comfortable driving in high-traffic and stressful conditions (e.g., rush hour)
  • Familiarity with GPS devices and navigation tools
  • Good knowledge of local roads, neighborhoods, and traffic patterns in the working country
  • Polite, professional, and respectful demeanor when interacting with the public
  • Basic technical and mechanical knowledge (e.g., changing tires, reading vehicle gauges)
Additional Skills & Attributes:
  • High sense of responsibility and attention to detail
  • Ability to follow operational procedures and safety guidelines
  • Strong time management and reliability
  • Comfortable working independently in the field
  • Willingness to travel and stay on assignment for extended periods
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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